10 Healthcare Leaders Turning AI into Measurable Outcomes

American healthcare is at an inflection point. While many providers remain in early AI experimentation, a subset of health systems and specialty hospitals have moved into production with measurable results. These include teaching hospitals, regional systems, children’s hospitals, cancer centers, and specialty providers, all shifting from pilots to real-world use. At Cedars-Sinai Medical Center, a 48-bed surgical unit deployed voice dictation software that reduced nurse overtime. At Hospital for Special Surgery, 96% of clinicians who tried an ambient documentation tool continued using it. The results confirm what the industry had assumed but lacked evidence to show: AI deployed within clinical workflows, focused on reducing administrative burden rather than replacing clinicians, can deliver immediate, measurable gains in patient care and staff wellbeing. These 10 leaders and organizations reflect different parts of care delivery. Some focus on documentation, others on diagnosis, and others on operations. Together, they show how AI can improve outcomes while keeping clinicians central to care. Alda Mizaku, Chief Data & AI Officer Children's National Hospital Children's National Hospital is a 323-bed pediatric acute care facility founded in 1870 and the only Level I pediatric trauma center in the Washington, D.C., metro area. The hospital performs 17,000+ surgeries and conducts 649,000+ outpatient visits in 60+ specialties annually. Alda Mizaku became Children's National's first Chief Data and AI Officer in June 2024, bringing 11 years of data leadership from Mercy Health. The organization piloted Microsoft's Dragon Ambient Experience (DAX), an ambient AI scribing tool that listens to patient encounters and auto-generates clinical notes. "The six-month DAX evaluation reduced EHR documentation time by approximately 10% and significantly lowered cognitive burden," Mizaku said to AIM Media House . "We saw more eye contact with patients, faster note completion, and improved provider experience across tens of thousands of encounters." The outcomes extended beyond time savings: clinicians reported improved focus on patients and families rather than screens. Children's National is now expanding the ambient documentation system-wide while piloting additional AI use cases, including inpatient stay summaries and predictive analytics. Mouneer Odeh, VP & Chief Data and AI Officer Cedars-Sinai Medical Center Cedars-Sinai Medical Center in Los Angeles operates 886 licensed beds across a 78-location network and serves over 1 million patients annually. Cedars-Sinai became the first health system to deploy Aiva Nurse Assistant at scale, enabling nurses to document patient encounters through voice dictation. The app transcribes conversations and maps data to the 50 most commonly used Epic EHR fields, with notes filing directly into patient records after clinician validation. "The Aiva app streamlines documentation, giving nurses back valuable time and improving both efficiency and patient experience," Mouneer Odeh, Chief Data and AI Officer, said to AIM Media House . A pilot in a 48-bed surgical unit showed nurses significantly reducing documentation time, with increases in patient experience scores and some staff reducing overtime hours. Cedars-Sinai is expanding the tool system-wide while launching additional initiatives, including Momentum Spine for radiation-free scoliosis monitoring and a PhD in Health AI program embedded within the hospital. Ryan Smith, Chief Digital and Information Officer Intermountain Health Intermountain Health operates 33 hospitals and 385 clinics across the Intermountain West with 64,000+ employees and 5,000+ physicians. The health system reports $9+ billion in annual revenue and was previously identified by President Obama as a model healthcare organization. When Ryan Smith took his role in early 2025, Intermountain faced a massive challenge: migrating from eight EHR systems to a single Epic instance. The September 2025 go-live would generate tens of thousands of support tickets. Instead, Smith's team deployed an AI triage agent as the first point of contact, either solving issues immediately or routing tickets to the correct IT team with full context pre-populated. "The AI agent deployed during the EHR integration now resolves more than half of all incoming tickets systemwide," Smith said to AIM Media House . "We've returned 14,000+ staff hours—approximately three minutes per ticket saved." Intermountain operates under a governance framework with seven core principles: accountability, transparency, reliability, ethics, equity, privacy, and security. The organization has also deployed over 4,000 RPA-based automation bots across the system. Andy Crowder, SVP & Chief Digital and AI Officer Advocate Health Advocate Health is the fifth-largest hospital system in the U.S., formed through the December 2022 merger of Advocate Aurora Health and Atrium Health. The organization sp

10 Healthcare Leaders Turning AI into Measurable Outcomes

Alda Mizaku, Chief Data & AI Officer

Children's National Hospital

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